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Evaluation of Appeal and Impact of E-Cigarettes Among Chronic Smokers With Smoking-Related Cancers

Evaluation of Appeal and Impact of E-Cigarettes Among Chronic Smokers With Smoking-Related Cancers

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02648178
Enrollment
19
Registered
2016-01-06
Start date
2016-06-30
Completion date
2018-05-31
Last updated
2019-09-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Bladder Cancer, Cancer of Head and Neck, Lung Cancer, Nicotine Dependence, Other Tobacco Product

Brief summary

This study will test feasibility, in smokers with lung, head & neck, and bladder cancers, that examines the effect of e-cigarette substitution, on measures of smoking-related toxicity and medical outcomes. The aim of the study is to determine the appeal of e-cigarettes compared to regular combustible cigarettes.

Detailed description

The aim of the study is to determine the appeal of e-cigarettes compared to combustible cigarettes as measured by the degree to which patients succeed in reducing their cigarette consumption over the 9 weeks they are supplied with product, along with their consumption of e-cigarettes. We will measure past use of e-cigarettes and cigarettes at baseline, 3, 6, 9, and 12 weeks. We will also assess the effect of e-cigarette substitution on toxicity by measuring expired carbon monoxide and urine NNAL (4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol) , a carcinogenic metabolite of cigarette smoke.

Interventions

DEVICEHALO

HALO manufactures e-cigarettes which will be distributed to patients. Two products, the G6 and tank model will be used.

Sponsors

Dartmouth-Hitchcock Medical Center
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

1. Histological or cytological diagnosis of lung, head & neck, or bladder cancer within the past 5 years. 2. AJCC (American Joint Committee on Cancer) stages I-IV 3. Daily Smoking (at least 10 cigarettes per day for 10 years) and breath CO (carbon monoxide) greater than or equal to 9 ppm 4. Does not wish to quit smoking now (anyone wishing to quit smoking will be referred for smoking cessation counselling through the DHMC (Dartmouth Hitchcock Medical Center) program) 5. May be receiving anti-cancer agents 6. Age 18 or older 7. Fluent in English; 8. Patient must be capable and willing to provide informed written consent for study participation; 9. Able to participate in study visits

Exclusion criteria

1. Cancer surgery planned in the next 9 weeks; 2. Treatment with radiation planned for the next 9 weeks, 3. Actively trying to quit smoking, or planning to in the next 30 days. (If a subject reports that they plan to quit smoking in the next 30 days, we will call them after the 30 days to see if they are still trying to quit.) 4. Any use of e-cigarettes in the past 30 days, 5. Pregnant or trying to get pregnant.

Design outcomes

Primary

MeasureTime frameDescription
Change in Daily Cigarette Smoking Given 10 or More E-cigarette Sessions in a Day12 WeeksParticipants report of daily cigarette and e-cigarette use for the previous 7 days at each study time-point (baseline and 3, 6, 9, and 12 weeks post-baseline) will be averaged to create usual daily cigarette. Mixed-effects linear regression with a random effect at the participant level will be used to assess the association between usual cigarette use (dependent variable) and usually e-cigarette use (independent predictor) over the study period while accounting for the repeated measures within subject. The model will be fit using restricted maximum likelihood. Time will be included in the model as continuous and categorical, separately, and we assess for stability of the association between cigarette use and e-cigarette over time by including an interaction term between e-cigarette use and time in the model.
Average Number of E-cigarettes Used Per Day12 WeeksAverage number of e-cigarettes used per day over the 12 week period

Countries

United States

Participant flow

Participants by arm

ArmCount
Ecigarette Use
Enrolled participants using the e-cigarette.
19
Total19

Baseline characteristics

CharacteristicEcigarette Use
Age, Categorical
<=18 years
0 Participants
Age, Categorical
>=65 years
10 Participants
Age, Categorical
Between 18 and 65 years
9 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Asian
0 Participants
Race (NIH/OMB)
Black or African American
0 Participants
Race (NIH/OMB)
More than one race
0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants
Race (NIH/OMB)
White
19 Participants
Region of Enrollment
United States
19 participants
Sex: Female, Male
Female
8 Participants
Sex: Female, Male
Male
11 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
1 / 19
other
Total, other adverse events
0 / 19
serious
Total, serious adverse events
1 / 19

Outcome results

Primary

Average Number of E-cigarettes Used Per Day

Average number of e-cigarettes used per day over the 12 week period

Time frame: 12 Weeks

ArmMeasureValue (MEAN)
Ecigarette UseAverage Number of E-cigarettes Used Per Day5.04 ecig sessions per day
Primary

Change in Daily Cigarette Smoking Given 10 or More E-cigarette Sessions in a Day

Participants report of daily cigarette and e-cigarette use for the previous 7 days at each study time-point (baseline and 3, 6, 9, and 12 weeks post-baseline) will be averaged to create usual daily cigarette. Mixed-effects linear regression with a random effect at the participant level will be used to assess the association between usual cigarette use (dependent variable) and usually e-cigarette use (independent predictor) over the study period while accounting for the repeated measures within subject. The model will be fit using restricted maximum likelihood. Time will be included in the model as continuous and categorical, separately, and we assess for stability of the association between cigarette use and e-cigarette over time by including an interaction term between e-cigarette use and time in the model.

Time frame: 12 Weeks

ArmMeasureValue (MEAN)
Ecigarette UseChange in Daily Cigarette Smoking Given 10 or More E-cigarette Sessions in a Day4.37 number of Daily Cigarettes

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026